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Listen

From Algolit

Revision as of 11:19, 24 May 2019 by David (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

listen here!


Why contextual stories?

We create 'algoliterary' works

What is literature?

An important difference


Writers

Programmers are writing data workers into being

Cortana speaks

Open source learning

Natural language for artificial intelligence


Oracles

Radical AdSense

What is a good employee?

Quantifying 100 years of gender and ethnic stereotypes

Wikimedia's ORES service.mp3

Tay


Cleaners

Project Gutenberg and Distributed Proofreaders

An algoliterary version of the Maintenance Manifesto

A bot panic at Amazon Mechanical Turk


Informants

Dataset as representation

Labeling for an oracle that detects vandalism on Wikipedia

How to make your dataset known

The ouroboros of machine learning


Readers

Character n-gram for authorship recognition

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